Wenlu Zhang
Cited by
Cited by
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen
NeuroImage 108, 214-224, 2015
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
International Conference on Medical Image Computing and Computer-Assisted …, 2014
Deep model based transfer and multi-task learning for biological image analysis
W Zhang, R Li, T Zeng, Q Sun, S Kumar, J Ye, S Ji
IEEE transactions on Big Data, 2016
A sparsity-inducing formulation for evolutionary co-clustering
S Ji, W Zhang, J Liu
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion
BA Duffy, W Zhang, H Tang, L Zhao, M Law, AW Toga, H Kim
Evolutionary soft co-clustering: formulations, algorithms, and applications
W Zhang, R Li, D Feng, A Chernikov, N Chrisochoides, C Osgood, S Ji
Data Mining and Knowledge Discovery 29 (3), 765-791, 2015
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns
R Li, W Zhang, S Ji
BMC bioinformatics 15 (1), 209, 2014
A mesh generation and machine learning framework for Drosophilagene expression pattern image analysis
W Zhang, D Feng, R Li, A Chernikov, N Chrisochoides, C Osgood, ...
BMC bioinformatics 14 (1), 372, 2013
Sparsity learning formulations for mining time-varying data
R Li, W Zhang, Y Zhao, Z Zhu, S Ji
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1411-1423, 2014
A probabilistic latent semantic analysis model for coclustering the mouse brain atlas
S Ji, W Zhang, R Li
IEEE/ACM transactions on computational biology and bioinformatics 10 (6 …, 2013
Evolutionary Soft Co-Clustering
W Zhang, S Ji, R Zhang
Towards Adaptive Ontology Visualization - Predicting User Success from Behavioral Data
WZ Bo Fu, Ben Steichen
International Journal of Semantic Computing 13 (4), 2019
Classification of Shark Behaviors using K-Nearest Neighbors
S Karan, EN Meese, Y Yang, HG Yeh, CG Lowe, W Zhang
2019 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2019
Deep Convolutional Neural Networks for Shark Behavior Analysis
HGY Wenlu Zhang, Anthony Martinez, Emily Meese, Christopher G. Lowe, Yu Yang
IEEE Green Energy & Smart System Conference, pp. 1-6, 2019
Deep Learning Models for Biomedical Image Analysis
B Ji, W Zhang, R Li, H Ji
Computational Models for Biomedical Reasoning and Problem Solving, 128-148, 2019
A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications
W Zhang
Communications & Digital Signal Processing
I Alvarado, J Bai, M Arifujjaman, S Abu-elzait, HJJ Yeh, R Sturdivant, ...
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